Abstract
| Language | English |
|---|---|
| Title of host publication | Unknown Host Publication |
| Editors | B Bosacchi, DB Fogel, JC Bezdek |
| Place of Publication | 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA |
| Publisher | SPIE |
| Pages | 246-252 |
| Number of pages | 5 |
| Volume | 4120 |
| Publication status | Published - 2000 |
| Event | APPLICATIONS AND SCIENCE OF NEURAL NETWORKS, FUZZY SYSTEMS, AND EVOLUTIONARY COMPUTATION III - SAN DIEGO Duration: 1 Jan 2000 → … |
Publication series
| Name | PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) |
|---|---|
| Publisher | SPIE-INT SOC OPTICAL ENGINEERING |
Conference
| Conference | APPLICATIONS AND SCIENCE OF NEURAL NETWORKS, FUZZY SYSTEMS, AND EVOLUTIONARY COMPUTATION III |
|---|---|
| Period | 1/01/00 → … |
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Keywords
- artificial nose
- gas sensing
- plasma spectroscopy
- artificial neural network
Cite this
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Gas recognition using a neural network approach to plasma optical emission spectroscopy. / Hyland, M; Mariotti, D; Dubitzky, W; McLaughlin, JAD; Maguire, PD.
Unknown Host Publication. ed. / B Bosacchi; DB Fogel; JC Bezdek. Vol. 4120 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA : SPIE, 2000. p. 246-252 (PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Gas recognition using a neural network approach to plasma optical emission spectroscopy
AU - Hyland, M
AU - Mariotti, D
AU - Dubitzky, W
AU - McLaughlin, JAD
AU - Maguire, PD
N1 - Conference on Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation III, SAN DIEGO, CA, JUL 31-AUG 01, 2000
PY - 2000
Y1 - 2000
N2 - A system has been developed which enables the detection and recognition of various gases. Plasma emission spectroscopy has been used to record spectra from volatile species of acetone, vinegar, and coffee beans, along with air and nitrogen spectra. The spectra have been uniquely processed and fed into an artificial neural network program for training and recognition of unknown gases. The system as a whole can be grouped into the emerging and diverse area of artificial nose technology. The system has shown to provide a solution to the recognition of simple gases and odours (ait, nitrogen, acetone) and could also satisfactorily recognise more complex samples (vinegar and coffee beans). Recognition is performed in seconds; this being a positive aspect for many artificial nose applications.
AB - A system has been developed which enables the detection and recognition of various gases. Plasma emission spectroscopy has been used to record spectra from volatile species of acetone, vinegar, and coffee beans, along with air and nitrogen spectra. The spectra have been uniquely processed and fed into an artificial neural network program for training and recognition of unknown gases. The system as a whole can be grouped into the emerging and diverse area of artificial nose technology. The system has shown to provide a solution to the recognition of simple gases and odours (ait, nitrogen, acetone) and could also satisfactorily recognise more complex samples (vinegar and coffee beans). Recognition is performed in seconds; this being a positive aspect for many artificial nose applications.
KW - artificial nose
KW - gas sensing
KW - plasma spectroscopy
KW - artificial neural network
M3 - Conference contribution
VL - 4120
T3 - PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
SP - 246
EP - 252
BT - Unknown Host Publication
A2 - Bosacchi, B
A2 - Fogel, DB
A2 - Bezdek, JC
PB - SPIE
CY - 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA
ER -